iDMU, facilitates the implementation of collaborative working procedures between functional and industrial design engineers, the 3D virtual verification and validation of the assembly processes, and the automation of extracting documentation, in several formats (paper, electronic, augmented reality), needed to execute the assembly processes at the shop floor.
These checklists are structured to systematically extract clinical documentation form facility-stored patient charts to retrospectively assess the quality of care that has been delivered in patients with obstetric complications (i.e. pre-eclampsia, eclampsia, hemorrhage, prolonged or obstructed labor, neonatal asphyxia).
We extracted clinical documentation data about the patient's chief complaint or reason for visit, symptoms, physical exam findings, diagnoses, and treatments.
Two ICU-specialized nursing practitioners (data assistants), were appointed to extract data from existing documentation systems.
The objective of this pilot study is to investigate the feasibility of using the NMDS-AT to extract data from routine documentation.
These dimensions are obtained during any archaeological intervention or extracted from original documentation written by scribes and travellers.
The data were extracted from pediatric documentation.
Past medical history and etiology of CKD were determined by the participants' treating providers and were extracted from medical documentation.
The primary purpose of the monitoring visits was to check the electronic documentation extracted from patients' medical records for correctness and completeness in order to ensure that the database would be valid and suitable for analysis according to the benchmarking procedure.
The NMDS-AT has been published [ 19]; however, it has not yet been used in nursing practice to extract data from routine nursing documentation.
